T/CEEIA 565-2022 Active Group standards

T/CEEIA 565-2022 Robot target detection algorithm evaluation requirements

T/CEEIA 565-2022 Robot target detection algorithm evaluation requirements

Publish Date: 2022-04-11 Implement Date: 2022-04-11 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/CEEIA 565-2022
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Software development and system files
Publish Date: 2022-04-11
Implement Date: 2022-04-11

Scope

Scope: This document specifies the evaluation criteria for the performance of robot target detection algorithms in data sets, including the principles for establishing data sets in various scenarios and the evaluation of the generalization ability of algorithm models in different data sets. This document is applicable to the evaluation of target detection algorithms for public cleaning robots, household cleaning robots, inspection and security robots, logistics and delivery robots, welcoming and reception robots, food processing robots, industrial grasping robots, construction robots, drones, etc. It can be used as a basis for testing and evaluation activities by developers, demanders, and third-party testing institutions. Main technical content: This document specifies the evaluation criteria for the performance of robot target detection algorithms in data sets, including the principles for establishing data sets in various scenarios and the evaluation of the generalization ability of algorithm models in different data sets. This document is applicable to the evaluation of target detection algorithms for public cleaning robots, household cleaning robots, inspection and security robots, logistics and delivery robots, welcoming and reception robots, food processing robots, industrial grasping robots, construction robots, drones, etc. It can be used as a basis for testing and evaluation activities by developers, demanders, and third-party testing institutions.

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